Linux - Artificial Intelligence Concepts and Methodologies - Tools and Applications - Key Terms and Definitions ~ Samuel F. Campbell
Linux - KEY TERMS AND DEFINITIONS
Agent-Based Modelling and
Simulation (ABMS):
Agent-based modelling and
simulation (ABMS) is a practice tool which used to capture the behavioural
characteristics of interconnecting agents and the environment around them.
Ant
Colony Optimization (ACO):
Ant colony optimization
(ACO) is one of the successful research directions in the SI domain. The main
idea is that the self-organizing principles which allow a colony of artificial
ants that cooperate to find good solutions.
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Computational
Intelligence (CI):
The term "CI"
was introduced for the emulation of "intelligent" functions of animal
brain by digital electronic computers.
Firefly Algorithm (FA):
The FA is a
nature-inspired, optimization algorithm which is based on the social (flashing)
behaviour of fireflies, or lighting bugs, in the summer sky in the tropical
temperature regions.
FL is a technique of
mapping an input space to an output space by means of a list of linguistic
rules that consist of the if-then statements.
Swarm intelligence (SI)
is built on the core principles found in various natural systems which is
composed of many agents who exploits local communication forms and highly distributed
control. Informally, SI is a kind of computational metaphor inspired by
different swarm examples such as ants, wasps, honey bees, fish, birds, sheep,
wolves, and particles.
Teaching–Learning-Based
Optimization (TLBO):
The TLBO approach is a
new efficient population based algorithm inspired by the influence of a teacher
on the output of learners in a class, which learners first acquire knowledge
from a teacher (i.e., teacher phase) and then from classmates (i.e., learner
phase).
A machine learning technique that emulates the biological nervous system.
Ensemble Learning:
The machine learning paradigm that combines the individual results of standard techniques to evolve a single improved solution to a problem.
- Hidden Neurons:
- The processing units in the hidden layer of an Artificial Neural Network model that processes variable inputs to produce target outputs.
- Linear Search:
- A sequential search for an optimal value in a bounded space.
- Permeability:
- A petroleum reservoir property that measures the interconnectivity of the pores identified in a reservoir rock sample.
- Petroleum Reservoir Characterization:
- A discipline in petroleum engineering that is concerned with the estimation of various reservoir properties.
- Porosity:
- A petroleum reservoir property that measures the amount of pores in a reservoir rock sample.
- Randomized Algorithm:
- An algorithm that generates a number from a normal distribution within a bounded space such that each number has equal chance of being selected.
